Literature DB >> 24886366

The Nakuru eye disease cohort study: methodology & rationale.

Andrew Bastawrous1, Wanjiku Mathenge, Tunde Peto, Helen A Weiss, Hillary Rono, Allen Foster, Matthew Burton, Hannah Kuper.   

Abstract

BACKGROUND: No longitudinal data from population-based studies of eye disease in sub-Saharan-Africa are available. A population-based survey was undertaken in 2007/08 to estimate the prevalence and determinants of blindness and low vision in Nakuru district, Kenya. This survey formed the baseline to a six-year prospective cohort study to estimate the incidence and progression of eye disease in this population. METHODS/
DESIGN: A nationally representative sample of persons aged 50 years and above were selected between January 2007 and November 2008 through probability proportionate to size sampling of clusters, with sampling of individuals within clusters through compact segment sampling. Selected participants underwent detailed ophthalmic examinations which included: visual acuity, autorefraction, visual fields, slit lamp assessment of the anterior and posterior segments, lens grading and fundus photography. In addition, anthropometric measures were taken and risk factors were assessed through structured interviews. Six years later (2013/2014) all subjects were invited for follow-up assessment, repeating the baseline examination methodology. DISCUSSION: The methodology will provide estimates of the progression of eye diseases and incidence of blindness, visual impairment, and eye diseases in an adult Kenyan population.

Entities:  

Mesh:

Year:  2014        PMID: 24886366      PMCID: PMC4024270          DOI: 10.1186/1471-2415-14-60

Source DB:  PubMed          Journal:  BMC Ophthalmol        ISSN: 1471-2415            Impact factor:   2.209


Background

The most recent global estimates suggest 285 million people worldwide are visually impaired, of whom, 39 million are blind [1]. The WHO defined Africa region has 26 million people with visual impairment (VI) of whom 6 million are blind. The continent also has the greatest disparity between numbers blind and number of ophthalmologists per million people [2], and therefore the greatest need for scaling up services. In recent years several cross-sectional surveys have been undertaken across Africa to estimate prevalence and causes of blindness [3-16]. Whilst this information has been vital in planning services where resources and provision of healthcare are limited, data on incidence and rates of progression of eye disease are needed to allow long-term planning. To date, no longitudinal, population-based studies of eye disease have been undertaken in Africa, and there have been only ten worldwide, predominantly in high-income settings (Table 1) [17-26].
Table 1

Population-based cohort studies of eye disease (not exhaustive)

StudyLocationYear commencedYears of follow upNo of participantsReference*
Beaver Dam Eye Study
USA
1988
Baseline
4926
[17]
5
3684
10
2764
15
2119
Blue Mountain Eye Study
Australia
1992
Baseline
3654
[18]
5
2335
10
1952
Rotterdam Study
Netherlands
1990
Baseline
6418
[19]
2
4953
6.5
3406
11
2387
Copenhagen City Eye Study
Denmark
1986
Baseline
946
[20]
14
359
Barbados Eye Study
Barbados
1987
Baseline
4631
[21]
4
3427
9
2793
Pathologies Oculaires Liees a L’Age
France
1995
Baseline
2584
[22]
3
1642
Melbourne Visual Impairment Project
Australia
1992
Baseline
5147
[23]
5
3271
Hisayama Study
Japan
1998
Baseline
1482
[24]
5
961
9
(1401>40 yrs)
Reykjavik Eye Study
Iceland
1996
Baseline
1045
[25]
5
846
Los Angeles Latino Eye StudyUSA2000Baseline
6357
[26]
44658

*Only one reference per study given.

Population-based cohort studies of eye disease (not exhaustive) *Only one reference per study given. The current study was undertaken in Nakuru district (now Nakuru County), which is the main district of Kenya’s largest province, the Rift Valley and has a population of 1.6 million. Nakuru district is broadly representative of Kenya in terms of ethnic diversity and economic activities. In 2004, a Rapid Assessment of Avoidable Blindness (RAAB) was completed in Nakuru district, to estimate the prevalence and causes of avoidable blindness and VI in the population of those 50 years and over [7]. A subsequent more comprehensive study was planned in the same region as a consequence of this survey to estimate causes and risk factors for those with visual impairment as well as those with non-visually impairing eye disease, with a particular focus on posterior segment eye disease [6]. Fieldwork was carried out in 2007 and 2008, during the course of which 4414 participants (a response rate of 88.1%) aged 50 years and above underwent ophthalmic and/or general examinations. The prevalence of blindness and visual impairment [6], glaucoma, age-related macular degeneration (AMD) [27], diabetic retinopathy (DR), cataract, refractive error (RE) [28,29] and cardiovascular diseases [30,31] were assessed. This 2007/08 survey forms the baseline to cohort described here. The overall aim of this cohort is to estimate the incidence, progression and risk factors for the development of blindness/visual impairment and their leading causes in a Kenyan adult population.

Objectives

Incidence

To estimate the age- and sex- specific incidence of visual impairment (VA < 6/12) and blindness (VA < 3/60) (all causes) in a Kenyan adult population. To estimate the age- and sex- specific incidence of cataract, RE, glaucoma, AMD and DR.

Causes & risk factors

To identify the causes and risk factors for incident visual impairment and blindness from specific diseases investigated (specifically focusing on demographic, anthropometric, behavioural, and vascular risk factors).

Progression

To estimate the risk of progression of Cataract, RE, Glaucoma, AMD and DR among cases detected at baseline.

Treatment & progression outcome

To describe the outcome of treatment for cataract, RE, glaucoma or DR among cases detected at baseline. To describe the progression of untreated eye disease among cases detected at baseline.

Methods/Design

This paper describes the definitions, eligibility criteria, follow-up procedures, visual acuity (VA) measurements, anthropometry and clinical examination procedures adopted for the study.

Baseline study population - sample size

The sample size of 5000 participants required for the baseline survey was calculated based on an expected prevalence of VA < 6/12 in the better eye due to posterior segment eye diseases (PSED) of 3.0% among those aged ≥50 years, a required precision of 0.5% (i.e. a 95% confidence interval [CI] of 2.5%-3.5%), a design effect of 1.5, and a response rate of 90%. (Epi Info 6.04, Centers for Disease Control and Prevention, Atlanta, GA). We selected 100 clusters each of 50 participants.

Sampling strategy and recruitment

Recent census data for Kenya were not available [32], and therefore electoral role lists that were renewed in 2006 in preparation for the 2007 general elections were used as the sampling frame for this baseline survey. The population size was updated for the year 2007 using a population growth rate of 2.7% per year [33]. One hundred clusters were selected with a probability proportional to the size of the population (Figure 1). A cluster was defined as the area served by the polling station.
Figure 1

Map showing the 100 study locations in the Nakuru County, Kenya.

Map showing the 100 study locations in the Nakuru County, Kenya. Households were selected within clusters using a modified compact segment sampling method [34]. Each cluster was divided into segments so that each segment included approximately 50 people aged ≥ 50 years. For instance, if a cluster included 200 people aged ≥ 50 years then it was divided into four segments. One of the segments was chosen at random by drawing lots and all households in the segment were sequentially sampled, until 50 people aged ≥ 50 years were identified. An eligible individual was defined as someone aged ≥ 50 years living in the household for at least three months in the previous year. Age was determined using the subject’s testimony, national identity cards and a calendar of historic events. If the segment did not include 50 people aged ≥ 50 years then another segment was chosen at random and sampling continued until 50 were reached. If after enumerating individual number 49 the next household had more than one person aged ≥50 all were enumerated and invited for examination.

Baseline findings

In total, 4381 participants underwent complete (ophthalmic and general) examination at baseline across 100 clusters. The prevalence of blindness was 1.6% (95% CI: 1.2-2.1%) [6].

Follow-up

A pilot follow up retraced 438 participants from 10 of the 100 clusters in 2008, a mean of 1.5 years from baseline, and 408 (79%) were successfully retraced to give an estimated 4.2% loss per year.

Retracing at follow-up - advance team

Approximately one week before the follow-up examination clinic was planned for a given cluster, a field officer studied the maps of the village and made phone contact with the village chief or guide to arrange the visit. At the planning visit a list of study participants were given to the chief and a local village guide was recruited to assist location of the study participants. At this visit the examination site was established and identification of amenities such as electricity, water and road access were made. Two days prior to the clinic, the field officer reminded chiefs of the visit by phone and notified them and the guide of the advance team’s arrival. On the day prior to the examination clinic, the Advance Team visited homes of baseline participants and confirmed their identity using National Identity cards. The two advance teams comprised of one nurse, one field officer and a driver or public transport. During this visit they performed the following duties: ○ Located individuals with assistance from the guide, phone numbers when available and previously recorded GPS locations using a Garmin Oregon 450 Satellite Navigation device. ○ Explained details of the exam and obtain written/thumb print informed consent for examination ○ Informed selected participants about location and time for examination

Registration

On the examination day, the advance team confirmed the identity of participants against their records from the previous day and against data from baseline (age, date of birth, name, and identity cards). Each participant was given a questionnaire, which was completed by the examiners as they move from station to station.

Examination procedures

Examinations were performed as per baseline unless otherwise indicated in Table 2.
Table 2

Instruments used at baseline and follow-up for examination, including rationale for change where appropriate

ProcedureBaseline Instrument (2007/08)Follow-up instrument (2013/14)Rationale for change
Near Vision Test
Continuous Text “Read in Style®” diopter chart
Unchanged
N/A
Personal Interview
Questionnaire developed by the survey ophthalmologist (WM)
Questionnaire developed by the survey ophthalmologist (AB) see Additional file 1: Appendix
N/A
Weight
The Seca 761 Medical Class 4 Scales mechanical ground scale (Williams Medical Supplies, London)
Tanita Segmental Body Composition Monitor
Combined weight and bioimpedence device – approved for medical studies
Bioimpedence
Not performed
Tanita Segmental Body Composition Monitor
Combined weight and bioimpedence device – approved for medical studies
Height
Leicester Height Measure (Stadiometer) (Chasmors Ltd, London)
SECA Height Measure
Better stability on uneven grounds
Waist and Hip circumference
Chasmors WM02 Body Tape measure
SECA Measuring tape
Availability
Blood pressure
Omron® Digital Automatic Blood Pressure Monitor Model HEM907
Unchanged
N/A
Visual Acuity
ETDRS LogMAR chart
Unchanged
N/A
Auto refraction
Topcon® Auto refractor RM8800
Welch Allyn SureSight
Improved portability
Corrected Visual Acuity
Frames and standard refraction lenses
Unchanged
N/A
Undilated eye exam including imaging (SL-OCT)
Haag-Streit® Slit lamp BD900 with SL-OCT
Haag-Streit® Slit lamp BM900 – no SL-OCT
Availability
Tonometry
Haag Streit® Goldmann Applanation tonometer on above slit lamp
Haag Streit® Goldmann Applanation tonometer on above slit lamp
N/A
Gonioscopy
Not performed
Four-mirror non-coupling gonioscopy lens (Zabby’s)
For glaucoma sub-typing and angle evaluation in normal population
Visual fields
Humphrey Field Analyzer II -720 i series(Zeiss®)
Henson 8000 Visual Field Analyser (TopCon, Inc)
Deemed more suitable for epidemiological data collection
Pupil Dilation
Mydriacyl drops (Alcon®)
G. Tropicamide 1% + G. Phenylepherine 2.5% (Minims)
Single units and better shelf life
Blood sugar
Accutrend GCT and test strips (Roche®)
OneTouch Select, Lifescan
Availability. Approved for medical studies
Blood Cholesterol
Accutrend GCT and test strips (Roche®)
Not performed
Cost prohibited inclusion
HbA1c
Not performed
(A1C Now+, Bayer)
Increase accuracy of Diabetes Mellitus diagnosis as participants non-fasted
Examination of anterior and posterior segments through a dilated pupil
90D lens and slit lamp(Volk®)
Superfield and 60D Lens (Volk) and Slit Lamp
Study ophthalmologist preference
Retinal PhotoTopcon® NW6S Non Mydriatic camera modelHaag-Streit DRS Retinal CameraSuitability for travel and ease of use.
Instruments used at baseline and follow-up for examination, including rationale for change where appropriate Details of each examination station are provided below including differences, if there were any, between baseline and follow-up.

Anthropometry

A nurse performed and recorded measures of participants: height; weight; waist and hip circumference, and three measures of blood pressure, each 5 minutes apart. In addition, at follow-up, bioimpedence (Tanita Segmental Body Composition Monitor) was performed. At baseline, capillary blood was taken from all participants for random blood glucose and cholesterol. At follow-up, no blood for cholesterol was collected and in addition, subjects with a random blood sugar greater than 11.1 mmol/L (IDF guidance at time of baseline study), those with known diabetes (regardless of random measure), evidence of diabetic retinopathy on retinal imaging and a subset (chosen randomly within each cluster) with random glucose between 7-11 mmol/L had an additional capillary blood HbA1c (A1C Now+, Bayer).

Interview

An interviewer performed the structured interview in the participant’s preferred language covering i) demographic details including; name, year of birth, ethnicity and education level; ii) past medical and ocular history including medical or ophthalmic medication or surgery and relevant family history; iii) relevant risk factors including; smoking and tobacco consumption and alcohol intake; iv) socioeconomic status based on job, housing conditions, ownership of material goods and livestock which is translated in to a score based on previous work in the same population [35]. (See Additional file 1: Appendix for Questionnaire/Data Entry Booklet).

Visual acuity

A clinical officer determined whether the study participant: a) Attends wearing distance correction glasses b) Owns distance correction glasses but failed to bring them c) Does not have any distance glasses d) Routinely uses reading glasses e) Attends wearing aphakic glasses Visual acuity (VA) was measured using a back-illuminated modified LogMAR reduced tumbling E chart [36,37], which has been used in previous population based studies [38,39].

Autorefraction

All subjects, regardless of VA underwent autorefraction using the Topcon® Auto refractor RM8800 at baseline and the hand held SureSight autorefractor (Welch Allyn) at follow-up, following manufacturers guidelines. Any subject recording an acuity of ≤24 optotypes, <6/9 equivalent (with or without glasses) underwent best corrected visual acuity. The refraction measure recorded for each eye was mounted in the trial frames using trial lenses (rounded up or down to the nearest 0.25 diopters). Visual acuity was then re-measured to give an estimate of the “corrected visual acuity” in each eye individually. When autorefraction results were not available, the pinhole method was used to estimate corrected visual acuity. A subset of participants also underwent manual refraction by a visiting optometrist for five clusters to validate the accuracy of the autorefractor.

Visual field assessment

At baseline, all individuals with suspect or abnormal discs on clinical examination underwent automated visual field testing. The Humphrey® Field Analyzer II - 720i series (Carl Zeiss Ophthalmic Systems, Inc.) was used. A suspect or abnormal disc was defined as a vertical cup/disc ratio (VCDR) of 0.7 or above; optic disc cupping asymmetry between the eyes of more than 0.2 VCDR; or any other abnormal features. A random sample of five individuals per cluster (10%) also underwent visual field testing to provide normative data. Participants performed the Swedish Interactive Thresholding Algorithm (SITA) STANDARD 24–2. SITA Fast was used to determine the threshold level in all participants having visual field analysis. Appropriate corrective lenses for refractive errors were used when needed. An automated fixation monitor was used throughout. If the SITA fast test was reliable (following manufacturers guidelines) the SITA standard test was performed. If the SITA fast was unreliable then this was repeated once. If it remained unreliable then no further testing was done. At follow-up, a different strategy for visual field testing was used: All subjects with VA equivalent to > =6/60 Snellen underwent automated visual field testing by a trained visual field technician using the Henson 8000 Visual Field Analyser (TopCon, Inc.) The multiple stimulus suprathreshold test was used following manufacturers guidelines (Screening test - 26 test locations). When one or more spots were missed, the 26-point test was repeated for that eye. If any missed spots re-occurred on the second time of testing the test for that eye was extended to 68 test locations. This machine and strategy were used in preference to the baseline methods due to feedback from both patient’s and tester at baseline. Patient’s found the baseline testing protocol difficult to understand and the time required to complete the test meant only a sub-sample of the population could be investigated.

Slit lamp biomicroscopy examination

Undilated (anterior segment) and dilated (posterior segment) slit lamp biomicroscopy examination were performed on all participants by the study ophthalmologists (WM at baseline, AB at follow-up) using a Haag-Streit BD 900 Slit Lamp (BM 900 at follow-up) and Volk condensing lenses (90D at baseline, Superfield and 66D at follow-up).

Anterior segment

The anterior segment of the eye was assessed for the presence of signs of trachoma. In addition at follow up examination included grading of corneal scarring, pterygium, secondary glaucoma, evidence of past or active uveitis, or evidence of surgery. The angle at baseline and follow-up was assessed using the Van Herick Test [40] and direct visualization of the angle using gonioscopy (performed after intraocular pressure, see below) was performed at follow-up. At follow-up, the ophthalmologist using a bright LED pen torch tested for the Relative Afferent Pupil Defect (RAPD). RAPD was recorded as present or absent. If present it was sub-categorised in to “subtle” or “definite”.

Intraocular pressure

Goldmann Applanation Tonometry (GAT) was used to measure intraocular pressure (IOP). A drop of Proxymethacaine and fluorescein (minims) were instilled to each eye. After 20 seconds the GAT was used in combination with a slit lamp to measure the IOP in each eye. The GAT’s calibration was checked as per manufacturers instructions on a daily basis by the study ophthalmologist, if found to be inaccurate, the spare GAT was used whilst the original was returned to the factory for calibration. One reading was taken from each eye and the GAT was disinfected between patients.

Gonioscopy

Assessment of the opening angle of participants’ right and left eyes was made using a four-mirror gonioscopy lens (Zabbys). This lens does not require coupling fluid and was chosen to minimize impact on the quality of retinal photographs. Angles were recorded using standard Shaffer grading [41] and further classified as “open”, “occludable” or “closed” based on standard referral criteria. Occludable angles are defined as: pigmented trabecular meshwork not visible in 3⁄4 or more of angle circumference in primary position without manipulation, in presence of low illumination. If the patient could not cooperate with gonioscopy, the Van Herick (VH) technique [40] was used for grading.

Dilated slit lamp examination

Pharmacologic dilation of the subject’s pupils was achieved by using tropicamide 1% (Mydriacyl) with phenylephrine hydrochloride 2.5% if needed. Dilation was not performed in subjects deemed at risk of narrow angle closure (inability to visualise at least 180° of posterior pigmented trabecular meshwork on non-indentation gonioscopy [42]). At risk subjects were referred to the Nakuru Eye Unit for prophylactic laser peripheral iridotomies.

Lens

The WHO simplified system for lens grading was used [43] following standard protocols. The lens was also examined for position, the presence of hyper mature (Morgagnian) cataract, and previous lens surgery (aphakic or pseudophakic). A red reflex lens image was taken when each participant was having retinal photographs. At follow-up, pseudophakic participants were assessed for the presence or absence of posterior capsular opacification and, if present, whether it entered the visual axis.

Optic disc

The optic nerve head was examined using a 90 Diopter Lens (Volk) at the slit lamp at baseline and a 66 Diopter lens (Volk) at follow-up. The clarity of the optic nerve head was determined and graded as clear, hazy or no view. Among subjects in whom an adequate view of the disc was obtained, the VCDR was estimated and recorded for each eye. Other glaucomatous changes were recorded and non-glaucomatous characteristics such as optic atrophy and optic pits were also recorded.

Macula

The macula was examined using a 90 Diopter Lens (Volk) at the slit lamp at baseline and a 66 Diopter or Superfield lens (Volk) at follow-up. The view of the macula was recorded as clear, hazy or no view. DR was clinically graded and recorded as absent, non proliferative, proliferative and end stage or maculopathy (macula oedema) [44]. The presence of drusen, hypo or hyper pigmentation, dry or geographic atrophy and neovascular changes were also recorded.

Fundus photography

An Ophthalmic Assistant performed digital photography of the lens and fundus on all study participants using a Topcon® NW6S Non Mydriatic camera model at baseline and DRS Digital Fundus Camera (Haag-Streit) at follow-up. The study ophthalmologist checked images were of sufficient quality for grading in the absence of prominent media opacities. An anterior segment co-axial photograph was taken for lens grading from each eye. Two 45° fundus photographs were taken in each eye, one optic disc centered and the other macula centered. Images were then securely uploaded to the Moorfields Reading Centre for review and grading for image quality, the presence or absence of pathology and the severity of pathology when present. Note: The gold-standard for grading of DR, AMD and optic disc changes is based on retinal photographs and not clinical assessment. Clinical examination was performed as a backup to equipment failure and a comparison of clinical and image based grading can be compared in the analysis stage and factored in the scenario by which a number of participants only have clinical grading available.

Data management and analysis

A patient record was completed for each participant and crosschecked for errors by the project field coordinator. Patient records were scanned to create a digital backup and then data were entered into an EpiData database (with built in range and consistency checks) independently by two data clerks and validated by the study ophthalmologist to reconcile any differences. Further data cleaning and all statistical analyses were conducted using STATA 10.0 (StataCorp LP, Texas, USA). The visual fields PDF print outs and raw data were sent securely to Moorfields Eye Hospital for grading along with the fundus and anterior segment images at baseline and follow-up. All image and visual field data were backed up on local devices and external hard drives. All images were first examined for quality and categorized as excellent, good, fair, borderline and ungradeable. If the images were ungradeable the clinical diagnosis was used. For gradable images the retina and optic disc were reviewed, and a diagnosis made based on the appearance of the image e.g. diabetic retinopathy, toxoplasmosis, onchocerciasis, age related macular degeneration, myopic fundus, glaucoma, optic atrophy or other retinal pathology. VCDR was measured and all images were graded for the absence/presence and stage of DR and ARMD. The graders graded the images for as many disease categories as possible, and so if it was feasible to grade an image for optic disc abnormality but not for ARMD, then the grader completed the optic disc grading only. A senior grader verified a random 10% of images that were graded as normal as well as all abnormal images to ensure quality assurance. The graders re-graded a random selection of images with a minimum of 14-days interval to allow for intragrader reliability to be established. Definitions used for analysis are detailed in Table 3.
Table 3

Definitions of disease incidence and progression

Disease
Incidence
Progression
DefinitionAt riskCasesAt riskCases
Blindness and Visual Impairment (VI)
Blind: Persons with VA of ≥3/60 in the better eye at baseline.
Persons who have VA of <3/60 in the better eye at follow up who had ≥3/60 in the better eye at baseline
Categorical changes in visual acuity between: Normal; Mild VI; Moderate VI; Severe VI; Blind, with a minimum of two line Snellen equivalent change in VA.
Cataract
Persons without evidence of cataract at baseline based on WHO simplified cataract grading systems
Persons with evidence of cataract at follow-up based on WHO simplified cataract grading systems [45] who did not have evidence at baseline
Persons with evidence of any grade of cataract at baseline based on WHO simplified cataract grading systems
Persons who increase by two or more severity grades in each sub-type of cataract.
Primary open angle glaucoma
Persons without glaucoma in either eye at baseline based on ISGEO [46] criteria
Persons who develop ISGEO classification 1, 2 or 3 glaucoma by the 6-year follow-up point
Glaucoma or glaucoma suspect case at baseline
Definite, disc or field progression. See below* [47]
Age-related macula degeneration
Persons who did not have any evidence of AMD at baseline in both eyes
Persons with evidence of early, late or specific AMD lesions
AREDS [48] step 9 or less (no AMD or early AMD) at baseline.
2-or-more-step increase in combined AREDS score from baseline in persons with gradable fundus photographs at both time points.
Diabetic retinopathyPersons with diabetes and free of retinopathy at baseline and persons developing DM by follow up.Persons with signs of DR (ETDRS) [49]
Persons with diabetes and minimal or moderate DR at baseline(1) Persons who develop severe DR by the 6-year follow-up
CSME and incidence of proliferative or severe DRϒ
(2) Increase by ≥ 3 steps on the ETDRS Severity Scale or development of proliferative DR necessitating photocoagulation therapy or vitrectomy

*Definite progression will be defined as those with a combination of ≥0.2 VCDR increase in either eye and/or ≥0.2 VCDR asymmetry between the two eyes with a corresponding progression on the visual field test defined as (TBC – either “expert analysis” or an arbitrary objective measure).

Note: More specific definitions will be provided in subsequent papers.

Definitions of disease incidence and progression *Definite progression will be defined as those with a combination of ≥0.2 VCDR increase in either eye and/or ≥0.2 VCDR asymmetry between the two eyes with a corresponding progression on the visual field test defined as (TBC – either “expert analysis” or an arbitrary objective measure). Note: More specific definitions will be provided in subsequent papers.

Quality assurance procedures

Training

Inter observer variations (IOV) assessments were performed in the training phase. IOV assessments on anthropometric variables were done by having the two nurses perform repeat measuring of 50 subjects. IOV of visual acuity were undertaken by having the ophthalmic clinical officer (OCO) and ophthalmic nurse repeat measures of 50 subjects (half normal vision and half visual impairment). IOV of undilated examinations were done by repeat measure of 50 subjects (half normal vision and half visual impairment) by a visiting ophthalmologist and study ophthalmologist at the beginning of the baseline survey and again in the middle. IOV of dilated exams were done by repeat measure of 50 subjects (half normal vision and half visual impairment) by a visiting ophthalmologist and study ophthalmologist at baseline. Retraining was done where IOV scores indicated poor comparability (kappa < 0.5). At follow-up, four weeks of training in November/December 2012 was completed for the study team members on all equipment and study protocols. Three pilot clusters examining over one hundred people were completed prior to commencing the study. Standard Operating Procedures (SOP) detailing follow-up survey methodology for each examination station were prepared and read by all study team members. The SOP was used in training and for reference during fieldwork. Supervisory visits were made to the field site (HK and MJB) to monitor practices and ensure standard protocols were being followed.

Non-responders at follow-up

Participants who were examined at baseline and eligible for follow-up assessment but who did not attend the examination clinic were contacted to determine the reason for their absence. Participants who were not locatable for the examination were categorized as non-responders and their reason for absence determined through available phone contact, neighbors and village guides as, “deceased”, “moved away”, or “unknown”.

Service provision

All participants identified with treatable disease in the study were offered appropriate care including free surgery and transport to the Rift Valley General Provinical Hospital or St Mary’s mission hospital, Elementita. Specific cases requiring other services were referred to the Kikuyu Eye Unit. A trained ophthalmic nurse or Ophthalmic Clinical Officer (OCO) discussed the diagnosis and the treatment options available to subjects diagnosed with untreatable eye disease. As well as study participants, non-study attendees were examined and treated by the study team.

Ethical approval

The study adhered to the tenets of the Declaration of Helsinki and was approved by the Ethics Committee of London School of Hygiene and Tropical Medicine at both baseline and follow-up. Baseline approval was provided by the Kenya Medical Research Institute and the African Medical and Research Foundation (AMREF), Kenya at follow-up. At both phases approval was also granted by the Rift Valley Provincial Medical Officer and the Nakuru district Medical Officer of Health. Approval was sought from the administrative heads in each cluster, usually the village chief. They were also given a copy of the consent form to read and pass on to those in the village.

Informed consent

Informed consent was obtained from all participants. The objectives of the survey and the examination process were explained to those eligible in the local dialect, in the presence of a witness. A subject was examined only after informed consent was obtained. All participants gave written (or thumbprint) consent to participate.

Discussion

The Nakuru Eye Disease Cohort Study is the first population-based cohort study of eye disease to have taken place in Africa. It will provide estimates on the incidence of blindness and visual impairment, the incidence and progression of: cataract, refractive error, glaucoma, ARMD and DR as well other retinal conditions. This data will be disseminated to eye care providers and programs in the region to facilitate the provision of eye care services.

Abbreviations

AMD: Age related macular degeneration; AREDS: Age Related Eye Disease Study; CI: Confidence interval; CSME: Clinically significant macula oedema; D: Dioptres; DR: Diabetic retinopathy; ETDRS: Early Treatment of Diabetic Retinopathy Study; GAT: Goldmann Applanation Tonometry; GPS: Global Positioning System; HbA1c: Haemoglobin 1c; ISGEO: International Society for Geographical Epidemiological Ophthalmology; LogMAR: Logarithm of the minimal angle of resolution; OCO: Ophthalmic clinical officer; PSED: Posterior segment eye diseases; RAAB: Rapid assessment of avoidable blindness; RAPD: Relative Afferent Pupil Defect; RE: Refractive error; SOP: Standard Operating Procedures; VA: Visual acuity; VCDR: Vertical cup to disc ratio; VH: Van-Herrick; VI: Visual impairment; WHO: World Health Organization.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

Conceptualization and formulation of study protocol; AB, WM, HK, MJB, TP, AF. Training; AB, WM, HR. Monitoring of Study Implementation; AB, HR, MJB, HK. Reading and revising manuscript: MJB, TP, HK, AB, HW, HR, WM, AF. Data cleaning; AB, HW. Data Analysis; AB, HW, HK, MJB. All authors read and approved the final manuscript.

Pre-publication history

The pre-publication history for this paper can be accessed here: http://www.biomedcentral.com/1471-2415/14/60/prepub

Additional file 1

Appendix. The Nakuru Eye Disease Cohort Study - Study Questionnaire 2013. Click here for file
  45 in total

1.  Evaluating a new logMAR chart designed to improve visual acuity assessment in population-based surveys.

Authors:  R R A Bourne; D A Rosser; P Sukudom; B Dineen; D A H Laidlaw; G J Johnson; I E Murdoch
Journal:  Eye (Lond)       Date:  2003-08       Impact factor: 3.775

2.  Rapid assessment of avoidable blindness in two northern provinces of Burundi without eye services.

Authors:  Levi Kandeke; Wanjiku Mathenge; Chantal Giramahoro; Francoise-Picard Adubang'o Undendere; Patrick Ruhagaze; Celestin Habiyakare; Paul Courtright; Susan Lewallen
Journal:  Ophthalmic Epidemiol       Date:  2012-08       Impact factor: 1.648

3.  The Nakuru posterior segment eye disease study: methods and prevalence of blindness and visual impairment in Nakuru, Kenya.

Authors:  Wanjiku Mathenge; Andrew Bastawrous; Allen Foster; Hannah Kuper
Journal:  Ophthalmology       Date:  2012-06-19       Impact factor: 12.079

4.  A not quite as quick but much cleaner alternative to the Expanded Programme on Immunization (EPI) Cluster Survey design.

Authors:  A G Turner; R J Magnani; M Shuaib
Journal:  Int J Epidemiol       Date:  1996-02       Impact factor: 7.196

5.  Rapid assessment of avoidable blindness in Nakuru district, Kenya.

Authors:  Wanjiku Mathenge; Hannah Kuper; Hans Limburg; Sarah Polack; Oscar Onyango; Godfrey Nyaga; Allen Foster
Journal:  Ophthalmology       Date:  2006-11-30       Impact factor: 12.079

6.  Prevalence of age-related macular degeneration in Nakuru, Kenya: a cross-sectional population-based study.

Authors:  Wanjiku Mathenge; Andrew Bastawrous; Tunde Peto; Irene Leung; Allen Foster; Hannah Kuper
Journal:  PLoS Med       Date:  2013-02-19       Impact factor: 11.069

7.  Prevalence of blindness and visual impairment in Nigeria: the National Blindness and Visual Impairment Study.

Authors:  Fatima Kyari; Murthy V S Gudlavalleti; Selvaraj Sivsubramaniam; Clare E Gilbert; Mohammed M Abdull; Gabriel Entekume; Allen Foster
Journal:  Invest Ophthalmol Vis Sci       Date:  2008-12-30       Impact factor: 4.799

8.  The Barbados Eye Study. Prevalence of open angle glaucoma.

Authors:  M C Leske; A M Connell; A P Schachat; L Hyman
Journal:  Arch Ophthalmol       Date:  1994-06

9.  A case-control study to assess the relationship between poverty and visual impairment from cataract in Kenya, the Philippines, and Bangladesh.

Authors:  Hannah Kuper; Sarah Polack; Cristina Eusebio; Wanjiku Mathenge; Zakia Wadud; Allen Foster
Journal:  PLoS Med       Date:  2008-12-16       Impact factor: 11.069

10.  Rapid assessment of avoidable blindness in Western Rwanda: blindness in a postconflict setting.

Authors:  Wanjiku Mathenge; John Nkurikiye; Hans Limburg; Hannah Kuper
Journal:  PLoS Med       Date:  2007-07       Impact factor: 11.069

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  14 in total

1.  Development and Validation of a Smartphone-Based Visual Acuity Test (Peek Acuity) for Clinical Practice and Community-Based Fieldwork.

Authors:  Andrew Bastawrous; Hillary K Rono; Iain A T Livingstone; Helen A Weiss; Stewart Jordan; Hannah Kuper; Matthew J Burton
Journal:  JAMA Ophthalmol       Date:  2015-08       Impact factor: 7.389

2.  Results of Automated Retinal Image Analysis for Detection of Diabetic Retinopathy from the Nakuru Study, Kenya.

Authors:  Morten B Hansen; Michael D Abràmoff; James C Folk; Wanjiku Mathenge; Andrew Bastawrous; Tunde Peto
Journal:  PLoS One       Date:  2015-10-01       Impact factor: 3.240

3.  Acceptability, Usability, and Views on Deployment of Peek, a Mobile Phone mHealth Intervention for Eye Care in Kenya: Qualitative Study.

Authors:  Vaishali Lodhia; Sarah Karanja; Shelley Lees; Andrew Bastawrous
Journal:  JMIR Mhealth Uhealth       Date:  2016-05-09       Impact factor: 4.773

4.  Six-Year Incidence of Blindness and Visual Impairment in Kenya: The Nakuru Eye Disease Cohort Study.

Authors:  Andrew Bastawrous; Wanjiku Mathenge; Kevin Wing; Hillary Rono; Michael Gichangi; Helen A Weiss; David Macleod; Allen Foster; Matthew J Burton; Hannah Kuper
Journal:  Invest Ophthalmol Vis Sci       Date:  2016-11-01       Impact factor: 4.799

5.  Six-Year Incidence and Progression of Age-Related Macular Degeneration in Kenya: Nakuru Eye Disease Cohort Study.

Authors:  Andrew Bastawrous; Wanjiku Mathenge; Tunde Peto; Nisha Shah; Kevin Wing; Hillary Rono; Helen A Weiss; David Macleod; Allen Foster; Matthew Burton; Hannah Kuper
Journal:  JAMA Ophthalmol       Date:  2017-06-01       Impact factor: 7.389

6.  The incidence of diabetes mellitus and diabetic retinopathy in a population-based cohort study of people age 50 years and over in Nakuru, Kenya.

Authors:  Andrew Bastawrous; Wanjiku Mathenge; Kevin Wing; Madeleine Bastawrous; Hillary Rono; Helen A Weiss; David Macleod; Allen Foster; Tunde Peto; Peter Blows; Matthew Burton; Hannah Kuper
Journal:  BMC Endocr Disord       Date:  2017-03-23       Impact factor: 2.763

Review 7.  Impact and Trends in Global Ophthalmology.

Authors:  Lloyd B Williams; S Grace Prakalapakorn; Zubair Ansari; Raquel Goldhardt
Journal:  Curr Ophthalmol Rep       Date:  2020-06-22

8.  Glaucoma Features in an East African Population: A 6-Year Cohort Study of Older Adults in Nakuru, Kenya.

Authors:  Andrew Bastawrous; Wanjiku Mathenge; John Buchan; Fatima Kyari; Tunde Peto; Hillary Rono; Helen A Weiss; David Macleod; Allen Foster; Matthew J Burton; Hannah Kuper
Journal:  J Glaucoma       Date:  2018-05       Impact factor: 2.503

Review 9.  The Diabetic Retinopathy Screening Workflow: Potential for Smartphone Imaging.

Authors:  Nigel M Bolster; Mario E Giardini; Andrew Bastawrous
Journal:  J Diabetes Sci Technol       Date:  2015-11-23

10.  Clinical Validation of a Smartphone-Based Adapter for Optic Disc Imaging in Kenya.

Authors:  Andrew Bastawrous; Mario Ettore Giardini; Nigel M Bolster; Tunde Peto; Nisha Shah; Iain A T Livingstone; Helen A Weiss; Sen Hu; Hillary Rono; Hannah Kuper; Matthew Burton
Journal:  JAMA Ophthalmol       Date:  2016-02       Impact factor: 7.389

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